PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-04 10:23:31.039847+00:00 (UTC)
In US/Central Time, this is 2024-09-04 05:23:31.039847-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/7e67cc216da2775a31bb2458b933e8c3d76d70445d2a53fc3ef1bdbaec977231.png
We are just generating a random time serie here.
../../_images/86d975e25435dee9c361c4d1fb36f411793a3c60d4e69f30ac2d75a1f204d7ac.png
../../_images/abc0f72fad4d23dbc29e2a53f5f64c9bfac9cea1652844106ce507a0c2b1ee83.png